Profiling Report

Dataset statistics

Number of variables	19
Number of observations	19768
Missing cells	10929
Missing cells (%)	2.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.1 MiB
Average record size in memory	375.9 B

Variable types

Categorical	1
Boolean	6
Text	1
Numeric	9
DateTime	2

Alerts

`followers` is highly overall correlated with `following` and 6 other fields	High correlation
`following` is highly overall correlated with `followers` and 4 other fields	High correlation
`label` is highly overall correlated with `text_bot_count`	High correlation
`log_followers` is highly overall correlated with `followers` and 6 other fields	High correlation
`log_following` is highly overall correlated with `followers` and 4 other fields	High correlation
`log_public_gists` is highly overall correlated with `followers` and 4 other fields	High correlation
`log_public_repos` is highly overall correlated with `followers` and 6 other fields	High correlation
`public_gists` is highly overall correlated with `followers` and 4 other fields	High correlation
`public_repos` is highly overall correlated with `followers` and 6 other fields	High correlation
`text_bot_count` is highly overall correlated with `label` and 1 other fields	High correlation
`type` is highly overall correlated with `text_bot_count`	High correlation
`label` is highly imbalanced (67.2%)	Imbalance
`type` is highly imbalanced (92.8%)	Imbalance
`site_admin` is highly imbalanced (95.8%)	Imbalance
`bio` has 10929 (55.3%) missing values	Missing
`public_repos` has 942 (4.8%) zeros	Zeros
`public_gists` has 7961 (40.3%) zeros	Zeros
`followers` has 1445 (7.3%) zeros	Zeros
`following` has 6017 (30.4%) zeros	Zeros
`text_bot_count` has 19003 (96.1%) zeros	Zeros
`log_public_repos` has 942 (4.8%) zeros	Zeros
`log_public_gists` has 7961 (40.3%) zeros	Zeros
`log_followers` has 1445 (7.3%) zeros	Zeros
`log_following` has 6017 (30.4%) zeros	Zeros

Reproduction

Analysis started	2024-11-21 09:11:21.395062
Analysis finished	2024-11-21 09:11:29.907707
Duration	8.51 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

label
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Human	18578
Bot	1190

Length

Max length	5
Median length	5
Mean length	4.8796034
Min length	3

Characters and Unicode

Total characters	96460
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Human
2nd row	Human
3rd row	Human
4th row	Bot
5th row	Human

Common Values

Value	Count	Frequency (%)
Human	18578	94.0%
Bot	1190	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
human	18578	94.0%
bot	1190	6.0%

Most occurring characters

Value	Count	Frequency (%)
H	18578	19.3%
u	18578	19.3%
m	18578	19.3%
a	18578	19.3%
n	18578	19.3%
B	1190	1.2%
o	1190	1.2%
t	1190	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	76692	79.5%
Uppercase Letter	19768	20.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	18578	24.2%
m	18578	24.2%
a	18578	24.2%
n	18578	24.2%
o	1190	1.6%
t	1190	1.6%

Uppercase Letter

Value	Count	Frequency (%)
H	18578	94.0%
B	1190	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	96460	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	18578	19.3%
u	18578	19.3%
m	18578	19.3%
a	18578	19.3%
n	18578	19.3%
B	1190	1.2%
o	1190	1.2%
t	1190	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	18578	19.3%
u	18578	19.3%
m	18578	19.3%
a	18578	19.3%
n	18578	19.3%
B	1190	1.2%
o	1190	1.2%
t	1190	1.2%

type
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

True	19597
False	171

Value	Count	Frequency (%)
True	19597	99.1%
False	171	0.9%

site_admin
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

False	19678
True	90

Value	Count	Frequency (%)
False	19678	99.5%
True	90	0.5%

company
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

True	10794
False	8974

Value	Count	Frequency (%)
True	10794	54.6%
False	8974	45.4%

blog
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

False	11256
True	8512

Value	Count	Frequency (%)
False	11256	56.9%
True	8512	43.1%

location
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

True	12691
False	7077

Value	Count	Frequency (%)
True	12691	64.2%
False	7077	35.8%

hireable
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

False	16470
True	3298

Value	Count	Frequency (%)
False	16470	83.3%
True	3298	16.7%

bio
Text

Missing

Distinct	8641
Distinct (%)	97.8%
Missing	10929
Missing (%)	55.3%
Memory size	1.6 MiB

Length

Max length	160
Median length	116
Mean length	61.460459
Min length	1

Characters and Unicode

Total characters	543249
Distinct characters	1746
Distinct categories	23 ?
Distinct scripts	18 ?
Distinct blocks	45 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8574 ?
Unique (%)	97.0%

Sample

1st row	I just press the buttons randomly, and the program evolves...
2nd row	Time is unimportant, only life important.
3rd row	Done studying. Need challenges.
4th row	Administrator of MOONGIFT that is introducing open source software everyday to Japanese engineers since 2004.
5th row	Senior Software Engineer at Google, working on Certificate Transparency and generalized transparency.

Value	Count	Frequency (%)
	3069	3.9%
and	2526	3.2%
engineer	1583	2.0%
software	1521	1.9%
of	1488	1.9%
at	1380	1.8%
developer	1236	1.6%
the	1086	1.4%
a	1038	1.3%
i	1033	1.3%
Other values (14754)	62407	79.6%

Most occurring characters

Value	Count	Frequency (%)
	70014	12.9%
e	49589	9.1%
o	32360	6.0%
n	31402	5.8%
a	31366	5.8%
t	31195	5.7%
r	31181	5.7%
i	28526	5.3%
s	19655	3.6%
l	14767	2.7%
Other values (1736)	203194	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	388595	71.5%
Space Separator	70192	12.9%
Uppercase Letter	43745	8.1%
Other Punctuation	23761	4.4%
Decimal Number	3557	0.7%
Control	2914	0.5%
Dash Punctuation	2560	0.5%
Other Letter	2016	0.4%
Other Symbol	2014	0.4%
Math Symbol	1750	0.3%
Other values (13)	2145	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
的	25	1.2%
一	20	1.0%
不	20	1.0%
人	14	0.7%
者	13	0.6%
程	13	0.6%
码	12	0.6%
行	11	0.5%
以	11	0.5%
の	11	0.5%
Other values (912)	1866	92.6%

Other Symbol

Value	Count	Frequency (%)
▄	141	7.0%
💻	86	4.3%
🍕	81	4.0%
❤	71	3.5%
█	62	3.1%
👨	58	2.9%
✨	58	2.9%
🚀	46	2.3%
🐁	39	1.9%
▀	39	1.9%
Other values (429)	1333	66.2%

Lowercase Letter

Value	Count	Frequency (%)
e	49589	12.8%
o	32360	8.3%
n	31402	8.1%
a	31366	8.1%
t	31195	8.0%
r	31181	8.0%
i	28526	7.3%
s	19655	5.1%
l	14767	3.8%
c	14228	3.7%
Other values (137)	104326	26.8%

Nonspacing Mark

Value	Count	Frequency (%)
️	204	60.7%
̶	10	3.0%
͡	6	1.8%
̭	6	1.8%
̯	6	1.8%
͉	6	1.8%
́	5	1.5%
̘	4	1.2%
̪	4	1.2%
͜	4	1.2%
Other values (45)	81	24.1%

Uppercase Letter

Value	Count	Frequency (%)
S	5685	13.0%
C	3807	8.7%
E	3010	6.9%
I	2927	6.7%
P	2841	6.5%
D	2744	6.3%
A	2743	6.3%
M	2331	5.3%
T	2121	4.8%
F	1734	4.0%
Other values (34)	13802	31.6%

Other Punctuation

Value	Count	Frequency (%)
.	7699	32.4%
,	5911	24.9%
@	4168	17.5%
/	2005	8.4%
:	865	3.6%
'	750	3.2%
&	663	2.8%
!	383	1.6%
#	310	1.3%
•	221	0.9%
Other values (24)	786	3.3%

Math Symbol

Value	Count	Frequency (%)
\|	1137	65.0%
+	407	23.3%
>	70	4.0%
=	43	2.5%
<	39	2.2%
~	26	1.5%
→	8	0.5%
←	4	0.2%
⋅	3	0.2%
≖	2	0.1%
Other values (10)	11	0.6%

Decimal Number

Value	Count	Frequency (%)
2	659	18.5%
0	591	16.6%
1	581	16.3%
3	361	10.1%
9	268	7.5%
8	240	6.7%
6	234	6.6%
4	224	6.3%
5	216	6.1%
7	179	5.0%
Other values (3)	4	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	570	84.9%
]	58	8.6%
}	18	2.7%
）	9	1.3%
❯	5	0.7%
」	4	0.6%
】	3	0.4%
〉	2	0.3%
》	1	0.1%
༽	1	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	536	85.1%
[	57	9.0%
{	19	3.0%
（	7	1.1%
【	3	0.5%
„	2	0.3%
︵	2	0.3%
「	2	0.3%
《	1	0.2%
༼	1	0.2%

Modifier Symbol

Value	Count	Frequency (%)
🏻	30	34.5%
¯	16	18.4%
`	14	16.1%
🏽	10	11.5%
🏼	9	10.3%
^	3	3.4%
🏾	3	3.4%
￣	2	2.3%

Private Use

Value	Count	Frequency (%)
	6	40.0%
	2	13.3%
	2	13.3%
	2	13.3%
	1	6.7%
	1	6.7%
	1	6.7%

Space Separator

Value	Count	Frequency (%)
	70014	99.7%
	61	0.1%
	48	0.1%
	40	0.1%
	27	< 0.1%
	2	< 0.1%

Modifier Letter

Value	Count	Frequency (%)
ー	10	62.5%
ˌ	2	12.5%
ˈ	2	12.5%
ₑ	1	6.2%
ː	1	6.2%

Other Number

Value	Count	Frequency (%)
²	2	33.3%
⁵	1	16.7%
¹	1	16.7%
⁰	1	16.7%
¼	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	2511	98.1%
—	30	1.2%
–	18	0.7%
―	1	< 0.1%

Format

Value	Count	Frequency (%)
‍	142	96.6%
	2	1.4%
	2	1.4%
‎	1	0.7%

Final Punctuation

Value	Count	Frequency (%)
’	29	60.4%
”	14	29.2%
»	5	10.4%

Currency Symbol

Value	Count	Frequency (%)
$	13	68.4%
₿	5	26.3%
£	1	5.3%

Initial Punctuation

Value	Count	Frequency (%)
“	12	70.6%
‘	4	23.5%
«	1	5.9%

Connector Punctuation

Value	Count	Frequency (%)
_	147	96.7%
‿	5	3.3%

Control

Value	Count	Frequency (%)
	2914	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅰ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	432048	79.5%
Common	108419	20.0%
Han	1521	0.3%
Inherited	478	0.1%
Cyrillic	244	< 0.1%
Hangul	174	< 0.1%
Hiragana	155	< 0.1%
Katakana	79	< 0.1%
Arabic	67	< 0.1%
Greek	26	< 0.1%
Other values (8)	38	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
的	25	1.6%
一	20	1.3%
不	20	1.3%
人	14	0.9%
者	13	0.9%
程	13	0.9%
码	12	0.8%
行	11	0.7%
以	11	0.7%
有	11	0.7%
Other values (680)	1371	90.1%

Common

Value	Count	Frequency (%)
	70014	64.6%
.	7699	7.1%
,	5911	5.5%
@	4168	3.8%
	2914	2.7%
-	2511	2.3%
/	2005	1.8%
\|	1137	1.0%
:	865	0.8%
'	750	0.7%
Other values (574)	10445	9.6%

Latin

Value	Count	Frequency (%)
e	49589	11.5%
o	32360	7.5%
n	31402	7.3%
a	31366	7.3%
t	31195	7.2%
r	31181	7.2%
i	28526	6.6%
s	19655	4.5%
l	14767	3.4%
c	14228	3.3%
Other values (107)	147779	34.2%

Hangul

Value	Count	Frequency (%)
ㅤ	8	4.6%
는	7	4.0%
다	7	4.0%
발	5	2.9%
을	4	2.3%
니	4	2.3%
이	4	2.3%
자	4	2.3%
드	4	2.3%
개	3	1.7%
Other values (102)	124	71.3%

Inherited

Value	Count	Frequency (%)
️	204	42.7%
‍	142	29.7%
̶	10	2.1%
͡	6	1.3%
̭	6	1.3%
̯	6	1.3%
͉	6	1.3%
́	5	1.0%
̘	4	0.8%
̪	4	0.8%
Other values (46)	85	17.8%

Katakana

Value	Count	Frequency (%)
ツ	10	12.7%
コ	4	5.1%
ム	4	5.1%
ル	3	3.8%
ｧ	3	3.8%
ン	3	3.8%
ゲ	3	3.8%
ロ	3	3.8%
ラ	3	3.8%
ジ	2	2.5%
Other values (32)	41	51.9%

Cyrillic

Value	Count	Frequency (%)
а	27	11.1%
о	18	7.4%
т	18	7.4%
н	14	5.7%
е	13	5.3%
и	12	4.9%
в	12	4.9%
с	11	4.5%
у	9	3.7%
р	8	3.3%
Other values (31)	102	41.8%

Hiragana

Value	Count	Frequency (%)
の	11	7.1%
し	11	7.1%
す	8	5.2%
い	7	4.5%
を	7	4.5%
た	7	4.5%
ま	7	4.5%
で	6	3.9%
と	6	3.9%
は	6	3.9%
Other values (30)	79	51.0%

Arabic

Value	Count	Frequency (%)
ا	10	14.9%
م	8	11.9%
و	7	10.4%
ت	6	9.0%
ل	5	7.5%
ر	4	6.0%
ع	4	6.0%
ة	3	4.5%
ي	3	4.5%
ى	2	3.0%
Other values (12)	15	22.4%

Greek

Value	Count	Frequency (%)
ω	4	15.4%
λ	3	11.5%
π	2	7.7%
ς	2	7.7%
ρ	2	7.7%
θ	2	7.7%
ν	1	3.8%
Θ	1	3.8%
ο	1	3.8%
δ	1	3.8%
Other values (7)	7	26.9%

Hebrew

Value	Count	Frequency (%)
מ	2	14.3%
ר	2	14.3%
ש	2	14.3%
ו	1	7.1%
א	1	7.1%
ל	1	7.1%
ע	1	7.1%
ה	1	7.1%
ח	1	7.1%
י	1	7.1%

Unknown

Value	Count	Frequency (%)
	6	40.0%
	2	13.3%
	2	13.3%
	2	13.3%
	1	6.7%
	1	6.7%
	1	6.7%

Tibetan

Value	Count	Frequency (%)
༼	1	50.0%
༽	1	50.0%

Thai

Value	Count	Frequency (%)
๑	2	100.0%

Kannada

Value	Count	Frequency (%)
ಠ	2	100.0%

Mandaic

Value	Count	Frequency (%)
ࡇ	1	100.0%

Egyptian_Hieroglyphs

Value	Count	Frequency (%)
𓀡	1	100.0%

Devanagari

Value	Count	Frequency (%)
ॐ	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	537268	98.9%
None	1839	0.3%
CJK	1521	0.3%
Punctuation	576	0.1%
Block Elements	255	< 0.1%
Cyrillic	244	< 0.1%
VS	205	< 0.1%
Enclosed Alphanum Sup	181	< 0.1%
Hangul	165	< 0.1%
Dingbats	160	< 0.1%
Other values (35)	835	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	70014	13.0%
e	49589	9.2%
o	32360	6.0%
n	31402	5.8%
a	31366	5.8%
t	31195	5.8%
r	31181	5.8%
i	28526	5.3%
s	19655	3.7%
l	14767	2.7%
Other values (86)	197213	36.7%

Punctuation

Value	Count	Frequency (%)
•	221	38.4%
‍	142	24.7%
	48	8.3%
—	30	5.2%
’	29	5.0%
	27	4.7%
–	18	3.1%
”	14	2.4%
…	12	2.1%
“	12	2.1%
Other values (10)	23	4.0%

VS

Value	Count	Frequency (%)
️	204	99.5%
︎	1	0.5%

Block Elements

Value	Count	Frequency (%)
▄	141	55.3%
█	62	24.3%
▀	39	15.3%
░	11	4.3%
▐	1	0.4%
▌	1	0.4%

None

Value	Count	Frequency (%)
💻	86	4.7%
🍕	81	4.4%
，	73	4.0%
	61	3.3%
👨	58	3.2%
。	55	3.0%
·	54	2.9%
🚀	46	2.5%
	40	2.2%
🐁	39	2.1%
Other values (407)	1246	67.8%

Dingbats

Value	Count	Frequency (%)
❤	71	44.4%
✨	58	36.2%
✌	5	3.1%
❯	5	3.1%
✍	3	1.9%
❄	2	1.2%
✊	2	1.2%
✝	2	1.2%
❞	1	0.6%
❝	1	0.6%
Other values (10)	10	6.2%

Enclosed Alphanum Sup

Value	Count	Frequency (%)
🇦	31	17.1%
🇺	29	16.0%
🇧	17	9.4%
🇷	15	8.3%
🇨	15	8.3%
🇬	11	6.1%
🇪	8	4.4%
🇸	8	4.4%
🇾	6	3.3%
🇮	6	3.3%
Other values (13)	35	19.3%

Misc Symbols

Value	Count	Frequency (%)
♂	30	21.9%
⚡	21	15.3%
☕	14	10.2%
♥	12	8.8%
☁	9	6.6%
⚛	5	3.6%
⚙	4	2.9%
⚧	4	2.9%
♀	3	2.2%
⚫	3	2.2%
Other values (24)	32	23.4%

Cyrillic

Value	Count	Frequency (%)
а	27	11.1%
о	18	7.4%
т	18	7.4%
н	14	5.7%
е	13	5.3%
и	12	4.9%
в	12	4.9%
с	11	4.5%
у	9	3.7%
р	8	3.3%
Other values (31)	102	41.8%

CJK

Value	Count	Frequency (%)
的	25	1.6%
一	20	1.3%
不	20	1.3%
人	14	0.9%
者	13	0.9%
程	13	0.9%
码	12	0.8%
行	11	0.7%
以	11	0.7%
有	11	0.7%
Other values (680)	1371	90.1%

Hiragana

Value	Count	Frequency (%)
の	11	7.1%
し	11	7.1%
す	8	5.2%
い	7	4.5%
を	7	4.5%
た	7	4.5%
ま	7	4.5%
で	6	3.9%
と	6	3.9%
は	6	3.9%
Other values (30)	79	51.0%

Katakana

Value	Count	Frequency (%)
ー	10	11.9%
ツ	10	11.9%
・	5	6.0%
コ	4	4.8%
ム	4	4.8%
ル	3	3.6%
ン	3	3.6%
ゲ	3	3.6%
ロ	3	3.6%
ラ	3	3.6%
Other values (27)	36	42.9%

Arabic

Value	Count	Frequency (%)
ا	10	14.7%
م	8	11.8%
و	7	10.3%
ت	6	8.8%
ل	5	7.4%
ر	4	5.9%
ع	4	5.9%
ة	3	4.4%
ي	3	4.4%
ى	2	2.9%
Other values (13)	16	23.5%

Diacriticals

Value	Count	Frequency (%)
̶	10	7.8%
͡	6	4.7%
̭	6	4.7%
̯	6	4.7%
͉	6	4.7%
́	5	3.9%
̘	4	3.1%
̪	4	3.1%
͜	4	3.1%
̩	4	3.1%
Other values (40)	73	57.0%

Compat Jamo

Value	Count	Frequency (%)
ㅤ	8	100.0%

Geometric Shapes Ext

Value	Count	Frequency (%)
🟦	8	57.1%
🟨	6	42.9%

Arrows

Value	Count	Frequency (%)
→	8	53.3%
←	4	26.7%
⇋	3	20.0%

Emoticons

Value	Count	Frequency (%)
🙈	7	11.9%
🙉	6	10.2%
😄	4	6.8%
🙂	4	6.8%
😎	3	5.1%
😉	2	3.4%
🙏	2	3.4%
😍	2	3.4%
😁	2	3.4%
😋	2	3.4%
Other values (18)	25	42.4%

Hangul

Value	Count	Frequency (%)
는	7	4.2%
다	7	4.2%
발	5	3.0%
을	4	2.4%
니	4	2.4%
이	4	2.4%
자	4	2.4%
드	4	2.4%
개	3	1.8%
화	3	1.8%
Other values (100)	120	72.7%

Geometric Shapes

Value	Count	Frequency (%)
◕	6	31.6%
▲	2	10.5%
○	2	10.5%
▽	2	10.5%
◉	2	10.5%
□	2	10.5%
●	1	5.3%
◦	1	5.3%
▸	1	5.3%

Box Drawing

Value	Count	Frequency (%)
┻	6	28.6%
╯	6	28.6%
║	5	23.8%
━	3	14.3%
╬	1	4.8%

PUA

Value	Count	Frequency (%)
	6	40.0%
	2	13.3%
	2	13.3%
	2	13.3%
	1	6.7%
	1	6.7%
	1	6.7%

Letterlike Symbols

Value	Count	Frequency (%)
™	5	100.0%

Currency Symbols

Value	Count	Frequency (%)
₿	5	100.0%

Sup Punctuation

Value	Count	Frequency (%)
⸱	4	100.0%

Math Operators

Value	Count	Frequency (%)
⋅	3	23.1%
≖	2	15.4%
∠	2	15.4%
≧	1	7.7%
≦	1	7.7%
∀	1	7.7%
≺	1	7.7%
⊂	1	7.7%
⊃	1	7.7%

Hebrew

Value	Count	Frequency (%)
מ	2	14.3%
ר	2	14.3%
ש	2	14.3%
ו	1	7.1%
א	1	7.1%
ל	1	7.1%
ע	1	7.1%
ה	1	7.1%
ח	1	7.1%
י	1	7.1%

Misc Technical

Value	Count	Frequency (%)
⎈	2	28.6%
⌚	1	14.3%
⏱	1	14.3%
⌁	1	14.3%
⌘	1	14.3%
⏳	1	14.3%

IPA Ext

Value	Count	Frequency (%)
ʖ	2	20.0%
ʕ	1	10.0%
ʔ	1	10.0%
ʀ	1	10.0%
ɴ	1	10.0%
ɾ	1	10.0%
ɚ	1	10.0%
ɹ	1	10.0%
ɛ	1	10.0%

Math Alphanum

Value	Count	Frequency (%)
𝘵	2	8.3%
𝘴	2	8.3%
𝘭	2	8.3%
𝘶	2	8.3%
𝒾	1	4.2%
𝒽	1	4.2%
𝐂	1	4.2%
𝐑	1	4.2%
𝟎	1	4.2%
𝟖	1	4.2%
Other values (10)	10	41.7%

Phonetic Ext

Value	Count	Frequency (%)
ᴥ	2	33.3%
ᴏ	1	16.7%
ᴛ	1	16.7%
ᴇ	1	16.7%
ᴍ	1	16.7%

Thai

Value	Count	Frequency (%)
๑	2	100.0%

CJK Compat Forms

Value	Count	Frequency (%)
︵	2	100.0%

Modifier Letters

Value	Count	Frequency (%)
ˌ	2	40.0%
ˈ	2	40.0%
ː	1	20.0%

Kannada

Value	Count	Frequency (%)
ಠ	2	100.0%

Diacriticals Sup

Value	Count	Frequency (%)
᷄	1	50.0%
᷅	1	50.0%

Mandaic

Value	Count	Frequency (%)
ࡇ	1	100.0%

Mahjong

Value	Count	Frequency (%)
🀄	1	100.0%

Jamo

Value	Count	Frequency (%)
ᅟ	1	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅰ	1	100.0%

Latin Ext Additional

Value	Count	Frequency (%)
ờ	1	50.0%
ṃ	1	50.0%

Egyptian Hieroglyphs

Value	Count	Frequency (%)
𓀡	1	100.0%

Enclosed Alphanum

Value	Count	Frequency (%)
Ⓐ	1	100.0%

Tibetan

Value	Count	Frequency (%)
༼	1	50.0%
༽	1	50.0%

Devanagari

Value	Count	Frequency (%)
ॐ	1	100.0%

public_repos
Real number (ℝ)

High correlation Zeros

Distinct	674
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3934449

Minimum	0
Maximum	10.819798
Zeros	942
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.69314718
Q1	2.4849066
median	3.5835189
Q3	4.4308168
95-th percentile	5.5254529
Maximum	10.819798
Range	10.819798
Interquartile range (IQR)	1.9459101

Descriptive statistics

Standard deviation	1.4801216
Coefficient of variation (CV)	0.4361708
Kurtosis	0.063401207
Mean	3.3934449
Median Absolute Deviation (MAD)	0.94446161
Skewness	-0.38244821
Sum	67081.618
Variance	2.1907598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	942	4.8%
0.6931471806	551	2.8%
1.098612289	465	2.4%
1.386294361	396	2.0%
1.609437912	380	1.9%
1.945910149	364	1.8%
1.791759469	357	1.8%
2.079441542	330	1.7%
2.302585093	312	1.6%
2.197224577	307	1.6%
Other values (664)	15364	77.7%

Value	Count	Frequency (%)
0	942	4.8%
0.6931471806	551	2.8%
1.098612289	465	2.4%
1.386294361	396	2.0%
1.609437912	380	1.9%
1.791759469	357	1.8%
1.945910149	364	1.8%
2.079441542	330	1.7%
2.197224577	307	1.6%
2.302585093	312	1.6%

Value	Count	Frequency (%)
10.81979828	1	< 0.1%
10.23088301	1	< 0.1%
10.17964092	1	< 0.1%
10.02654554	1	< 0.1%
9.937599082	1	< 0.1%
9.765718623	1	< 0.1%
9.740144754	1	< 0.1%
9.731512288	1	< 0.1%
9.176473302	1	< 0.1%
9.164819857	1	< 0.1%

public_gists
Real number (ℝ)

High correlation Zeros

Distinct	359
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3667909

Minimum	0
Maximum	10.929207
Zeros	7961
Zeros (%)	40.3%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.0986123
Q3	2.3978953
95-th percentile	4.2046926
Maximum	10.929207
Range	10.929207
Interquartile range (IQR)	2.3978953

Descriptive statistics

Standard deviation	1.4937885
Coefficient of variation (CV)	1.0929166
Kurtosis	0.26107473
Mean	1.3667909
Median Absolute Deviation (MAD)	1.0986123
Skewness	0.93069164
Sum	27018.723
Variance	2.231404
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7961	40.3%
0.6931471806	1873	9.5%
1.098612289	1152	5.8%
1.386294361	823	4.2%
1.609437912	665	3.4%
1.791759469	627	3.2%
1.945910149	488	2.5%
2.079441542	405	2.0%
2.302585093	327	1.7%
2.197224577	318	1.6%
Other values (349)	5129	25.9%

Value	Count	Frequency (%)
0	7961	40.3%
0.6931471806	1873	9.5%
1.098612289	1152	5.8%
1.386294361	823	4.2%
1.609437912	665	3.4%
1.791759469	627	3.2%
1.945910149	488	2.5%
2.079441542	405	2.0%
2.197224577	318	1.6%
2.302585093	327	1.7%

Value	Count	Frequency (%)
10.92920652	1	< 0.1%
10.89044176	1	< 0.1%
10.27311821	1	< 0.1%
10.19913779	1	< 0.1%
9.647497927	1	< 0.1%
9.269080867	1	< 0.1%
8.146419323	1	< 0.1%
8.061802275	1	< 0.1%
7.850103545	1	< 0.1%
7.467942332	1	< 0.1%

followers
Real number (ℝ)

High correlation Zeros

Distinct	1598
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.5025164

Minimum	0
Maximum	11.469527
Zeros	1445
Zeros (%)	7.3%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.0794415
median	3.5263605
Q3	4.8362819
95-th percentile	6.7298241
Maximum	11.469527
Range	11.469527
Interquartile range (IQR)	2.7568404

Descriptive statistics

Standard deviation	1.9557633
Coefficient of variation (CV)	0.55838804
Kurtosis	-0.29389155
Mean	3.5025164
Median Absolute Deviation (MAD)	1.3291359
Skewness	0.12973968
Sum	69237.744
Variance	3.8250099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1445	7.3%
0.6931471806	803	4.1%
1.098612289	623	3.2%
1.386294361	515	2.6%
1.609437912	450	2.3%
1.791759469	415	2.1%
1.945910149	396	2.0%
2.079441542	347	1.8%
2.197224577	338	1.7%
2.302585093	311	1.6%
Other values (1588)	14125	71.5%

Value	Count	Frequency (%)
0	1445	7.3%
0.6931471806	803	4.1%
1.098612289	623	3.2%
1.386294361	515	2.6%
1.609437912	450	2.3%
1.791759469	415	2.1%
1.945910149	396	2.0%
2.079441542	347	1.8%
2.197224577	338	1.7%
2.302585093	311	1.6%

Value	Count	Frequency (%)
11.46952724	1	< 0.1%
11.35017121	1	< 0.1%
11.10049616	1	< 0.1%
10.97597829	1	< 0.1%
10.34563811	1	< 0.1%
10.31850687	1	< 0.1%
10.2995755	1	< 0.1%
10.28926003	1	< 0.1%
10.25456687	1	< 0.1%
10.15874973	1	< 0.1%

following
Real number (ℝ)

High correlation Zeros

Distinct	620
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8589591

Minimum	0
Maximum	10.231928
Zeros	6017
Zeros (%)	30.4%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.6094379
Q3	3.1354942
95-th percentile	5.0039463
Maximum	10.231928
Range	10.231928
Interquartile range (IQR)	3.1354942

Descriptive statistics

Standard deviation	1.743082
Coefficient of variation (CV)	0.93766562
Kurtosis	-0.25441172
Mean	1.8589591
Median Absolute Deviation (MAD)	1.6094379
Skewness	0.68128993
Sum	36747.903
Variance	3.0383349
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6017	30.4%
0.6931471806	1734	8.8%
1.098612289	1092	5.5%
1.386294361	794	4.0%
1.609437912	602	3.0%
1.791759469	533	2.7%
1.945910149	484	2.4%
2.079441542	407	2.1%
2.197224577	368	1.9%
2.302585093	322	1.6%
Other values (610)	7415	37.5%

Value	Count	Frequency (%)
0	6017	30.4%
0.6931471806	1734	8.8%
1.098612289	1092	5.5%
1.386294361	794	4.0%
1.609437912	602	3.0%
1.791759469	533	2.7%
1.945910149	484	2.4%
2.079441542	407	2.1%
2.197224577	368	1.9%
2.302585093	322	1.6%

Value	Count	Frequency (%)
10.23192762	1	< 0.1%
9.725675811	1	< 0.1%
9.676084944	1	< 0.1%
9.386140712	1	< 0.1%
9.236884927	1	< 0.1%
9.182043773	1	< 0.1%
9.178540059	1	< 0.1%
9.162514742	1	< 0.1%
9.145054905	1	< 0.1%
8.905851181	1	< 0.1%

created_at
Date

Distinct	19767
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	154.6 KiB

Minimum	2008-01-27 07:09:47
Maximum	2021-12-20 05:29:41

Histogram with fixed size bins (bins=50)

updated_at
Date

Distinct	19633
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Memory size	154.6 KiB

Minimum	2016-08-08 22:18:09
Maximum	2023-10-14 14:33:48

Histogram with fixed size bins (bins=50)

text_bot_count
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.061361797

Minimum	0
Maximum	5
Zeros	19003
Zeros (%)	96.1%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.34100309
Coefficient of variation (CV)	5.5572539
Kurtosis	51.672415
Mean	0.061361797
Median Absolute Deviation (MAD)	0
Skewness	6.674794
Sum	1213
Variance	0.11628311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	19003	96.1%
1	425	2.1%
2	251	1.3%
3	75	0.4%
4	9	< 0.1%
5	5	< 0.1%

Value	Count	Frequency (%)
0	19003	96.1%
1	425	2.1%
2	251	1.3%
3	75	0.4%
4	9	< 0.1%
5	5	< 0.1%

Value	Count	Frequency (%)
5	5	< 0.1%
4	9	< 0.1%
3	75	0.4%
2	251	1.3%
1	425	2.1%
0	19003	96.1%

log_public_repos
Real number (ℝ)

High correlation Zeros

Distinct	674
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4003517

Minimum	0
Maximum	2.4697759
Zeros	942
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.52658903
Q1	1.2484413
median	1.522467
Q3	1.6920895
95-th percentile	1.8757104
Maximum	2.4697759
Range	2.4697759
Interquartile range (IQR)	0.44364829

Descriptive statistics

Standard deviation	0.44557258
Coefficient of variation (CV)	0.3181862
Kurtosis	2.5132055
Mean	1.4003517
Median Absolute Deviation (MAD)	0.19942773
Skewness	-1.592366
Sum	27682.152
Variance	0.19853492
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	942	4.8%
0.5265890341	551	2.8%
0.7412763114	465	2.4%
0.8697416862	396	2.0%
0.9591348389	380	1.9%
1.080417818	364	1.8%
1.026672031	357	1.8%
1.124748263	330	1.7%
1.194705523	312	1.6%
1.162283114	307	1.6%
Other values (664)	15364	77.7%

Value	Count	Frequency (%)
0	942	4.8%
0.5265890341	551	2.8%
0.7412763114	465	2.4%
0.8697416862	396	2.0%
0.9591348389	380	1.9%
1.026672031	357	1.8%
1.080417818	364	1.8%
1.124748263	330	1.7%
1.162283114	307	1.6%
1.194705523	312	1.6%

Value	Count	Frequency (%)
2.469775946	1	< 0.1%
2.418667395	1	< 0.1%
2.41409435	1	< 0.1%
2.400305597	1	< 0.1%
2.392206311	1	< 0.1%
2.376366884	1	< 0.1%
2.373988567	1	< 0.1%
2.373184487	1	< 0.1%
2.320078517	1	< 0.1%
2.318932725	1	< 0.1%

log_public_gists
Real number (ℝ)

High correlation Zeros

Distinct	359
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.66694448

Minimum	0
Maximum	2.4789897
Zeros	7961
Zeros (%)	40.3%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.74127631
Q3	1.2231562
95-th percentile	1.6495606
Maximum	2.4789897
Range	2.4789897
Interquartile range (IQR)	1.2231562

Descriptive statistics

Standard deviation	0.6235032
Coefficient of variation (CV)	0.93486522
Kurtosis	-1.4067386
Mean	0.66694448
Median Absolute Deviation (MAD)	0.74127631
Skewness	0.22820652
Sum	13184.158
Variance	0.38875624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7961	40.3%
0.5265890341	1873	9.5%
0.7412763114	1152	5.8%
0.8697416862	823	4.2%
0.9591348389	665	3.4%
1.026672031	627	3.2%
1.080417818	488	2.5%
1.124748263	405	2.0%
1.194705523	327	1.7%
1.162283114	318	1.6%
Other values (349)	5129	25.9%

Value	Count	Frequency (%)
0	7961	40.3%
0.5265890341	1873	9.5%
0.7412763114	1152	5.8%
0.8697416862	823	4.2%
0.9591348389	665	3.4%
1.026672031	627	3.2%
1.080417818	488	2.5%
1.124748263	405	2.0%
1.162283114	318	1.6%
1.194705523	327	1.7%

Value	Count	Frequency (%)
2.478989722	1	< 0.1%
2.475734864	1	< 0.1%
2.422420972	1	< 0.1%
2.415836793	1	< 0.1%
2.365324928	1	< 0.1%
2.329137523	1	< 0.1%
2.213362472	1	< 0.1%
2.204068027	1	< 0.1%
2.180429159	1	< 0.1%
2.136287543	1	< 0.1%

log_followers
Real number (ℝ)

High correlation Zeros

Distinct	1598
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3804014

Minimum	0
Maximum	2.5232878
Zeros	1445
Zeros (%)	7.3%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.1247483
median	1.5099182
Q3	1.7640939
95-th percentile	2.0450861
Maximum	2.5232878
Range	2.5232878
Interquartile range (IQR)	0.63934567

Descriptive statistics

Standard deviation	0.54844034
Coefficient of variation (CV)	0.39730496
Kurtosis	0.65588584
Mean	1.3804014
Median Absolute Deviation (MAD)	0.28905272
Skewness	-1.0720772
Sum	27287.775
Variance	0.30078681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1445	7.3%
0.5265890341	803	4.1%
0.7412763114	623	3.2%
0.8697416862	515	2.6%
0.9591348389	450	2.3%
1.026672031	415	2.1%
1.080417818	396	2.0%
1.124748263	347	1.8%
1.162283114	338	1.7%
1.194705523	311	1.6%
Other values (1588)	14125	71.5%

Value	Count	Frequency (%)
0	1445	7.3%
0.5265890341	803	4.1%
0.7412763114	623	3.2%
0.8697416862	515	2.6%
0.9591348389	450	2.3%
1.026672031	415	2.1%
1.080417818	396	2.0%
1.124748263	347	1.8%
1.162283114	338	1.7%
1.194705523	311	1.6%

Value	Count	Frequency (%)
2.523287847	1	< 0.1%
2.513669926	1	< 0.1%
2.493246457	1	< 0.1%
2.482902834	1	< 0.1%
2.428833363	1	< 0.1%
2.426439162	1	< 0.1%
2.424765159	1	< 0.1%
2.423851834	1	< 0.1%
2.42077399	1	< 0.1%
2.41222392	1	< 0.1%

log_following
Real number (ℝ)

High correlation Zeros

Distinct	620
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.84720374

Minimum	0
Maximum	2.4187604
Zeros	6017
Zeros (%)	30.4%
Negative	0
Negative (%)	0.0%
Memory size	154.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.95913484
Q3	1.4196068
95-th percentile	1.792417
Maximum	2.4187604
Range	2.4187604
Interquartile range (IQR)	1.4196068

Descriptive statistics

Standard deviation	0.65798899
Coefficient of variation (CV)	0.77665968
Kurtosis	-1.392483
Mean	0.84720374
Median Absolute Deviation (MAD)	0.54416616
Skewness	-0.084293073
Sum	16747.524
Variance	0.4329495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6017	30.4%
0.5265890341	1734	8.8%
0.7412763114	1092	5.5%
0.8697416862	794	4.0%
0.9591348389	602	3.0%
1.026672031	533	2.7%
1.080417818	484	2.4%
1.124748263	407	2.1%
1.162283114	368	1.9%
1.194705523	322	1.6%
Other values (610)	7415	37.5%

Value	Count	Frequency (%)
0	6017	30.4%
0.5265890341	1734	8.8%
0.7412763114	1092	5.5%
0.8697416862	794	4.0%
0.9591348389	602	3.0%
1.026672031	533	2.7%
1.080417818	484	2.4%
1.124748263	407	2.1%
1.162283114	368	1.9%
1.194705523	322	1.6%

Value	Count	Frequency (%)
2.418760403	1	< 0.1%
2.372640476	1	< 0.1%
2.368006188	1	< 0.1%
2.340472294	1	< 0.1%
2.325997367	1	< 0.1%
2.320625755	1	< 0.1%
2.320281588	1	< 0.1%
2.318705926	1	< 0.1%
2.316986385	1	< 0.1%
2.293125611	1	< 0.1%

	blog	company	followers	following	hireable	label	location	log_followers	log_following	log_public_gists	log_public_repos	public_gists	public_repos	site_admin	text_bot_count	type
blog	1.000	0.258	0.427	0.359	0.218	0.024	0.369	0.429	0.361	0.368	0.367	0.357	0.365	0.005	0.062	0.080
company	0.258	1.000	0.259	0.196	0.057	0.070	0.392	0.265	0.204	0.191	0.201	0.180	0.198	0.025	0.069	0.102
followers	0.427	0.259	1.000	0.537	0.214	0.163	0.398	1.000	0.537	0.597	0.651	0.597	0.651	0.079	-0.150	0.226
following	0.359	0.196	0.537	1.000	0.270	0.165	0.359	0.537	1.000	0.438	0.537	0.438	0.537	0.000	-0.159	0.114
hireable	0.218	0.057	0.214	0.270	1.000	0.058	0.178	0.213	0.272	0.205	0.233	0.199	0.232	0.013	0.049	0.040
label	0.024	0.070	0.163	0.165	0.058	1.000	0.130	0.191	0.199	0.155	0.415	0.141	0.369	0.006	0.579	0.368
location	0.369	0.392	0.398	0.359	0.178	0.130	1.000	0.400	0.369	0.309	0.361	0.288	0.357	0.019	0.131	0.124
log_followers	0.429	0.265	1.000	0.537	0.213	0.191	0.400	1.000	0.537	0.597	0.651	0.597	0.651	0.077	-0.150	0.332
log_following	0.361	0.204	0.537	1.000	0.272	0.199	0.369	0.537	1.000	0.438	0.537	0.438	0.537	0.010	-0.159	0.140
log_public_gists	0.368	0.191	0.597	0.438	0.205	0.155	0.309	0.597	0.438	1.000	0.636	1.000	0.636	0.023	-0.137	0.112
log_public_repos	0.367	0.201	0.651	0.537	0.233	0.415	0.361	0.651	0.537	0.636	1.000	0.636	1.000	0.024	-0.204	0.417
public_gists	0.357	0.180	0.597	0.438	0.199	0.141	0.288	0.597	0.438	1.000	0.636	1.000	0.636	0.026	-0.137	0.091
public_repos	0.365	0.198	0.651	0.537	0.232	0.369	0.357	0.651	0.537	0.636	1.000	0.636	1.000	0.022	-0.204	0.326
site_admin	0.005	0.025	0.079	0.000	0.013	0.006	0.019	0.077	0.010	0.023	0.024	0.026	0.022	1.000	0.000	0.000
text_bot_count	0.062	0.069	-0.150	-0.159	0.049	0.579	0.131	-0.150	-0.159	-0.137	-0.204	-0.137	-0.204	0.000	1.000	0.510
type	0.080	0.102	0.226	0.114	0.040	0.368	0.124	0.332	0.140	0.112	0.417	0.091	0.326	0.000	0.510	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	label	type	site_admin	company	blog	location	hireable	bio	public_repos	public_gists	followers	following	created_at	updated_at	log_public_repos	log_public_gists	log_followers	log_following
0	Human	True	False	False	False	False	False	NaN	3.295837	0.693147	1.791759	0.693147	2011-09-26 17:27:03	2023-10-13 11:21:10	1.457646	0.526589	1.026672	0.526589
1	Human	True	False	False	True	False	True	I just press the buttons randomly, and the program evolves...	3.433987	1.386294	2.302585	1.945910	2015-06-29 10:12:46	2023-10-07 06:26:14	1.489299	0.869742	1.194706	1.080418
2	Human	True	False	True	True	True	True	Time is unimportant,\nonly life important.	4.644391	3.912023	7.100852	5.402677	2008-08-29 16:20:03	2023-10-02 02:11:21	1.730662	1.591686	2.091969	1.856716
3	Bot	True	False	False	False	True	False	NaN	3.912023	0.000000	4.442651	1.098612	2014-05-20 18:43:09	2023-10-12 12:54:59	1.591686	0.000000	1.694266	0.741276
4	Human	True	False	False	False	False	True	NaN	2.484907	0.693147	1.945910	1.098612	2012-08-16 14:19:13	2023-10-06 11:58:41	1.248441	0.526589	1.080418	0.741276
5	Human	True	False	True	True	True	False	Done studying. Need challenges.	4.043051	0.693147	3.135494	2.079442	2017-04-11 14:08:07	2023-10-11 05:59:26	1.618011	0.526589	1.419607	1.124748
6	Human	True	False	True	True	True	True	Administrator of MOONGIFT that is introducing open source software everyday to Japanese engineers since 2004.	5.627621	7.038784	4.158883	2.833213	2008-04-07 22:22:22	2023-09-27 09:04:56	1.891246	2.084278	1.640720	1.343703
7	Human	True	False	True	False	True	False	Senior Software Engineer at Google, working on Certificate Transparency and generalized transparency.	3.637586	0.693147	3.135494	0.000000	2012-01-19 21:57:07	2023-08-07 16:06:34	1.534194	0.526589	1.419607	0.000000
8	Human	True	False	False	False	False	False	NaN	3.332205	1.098612	3.637586	6.391917	2019-12-24 20:04:33	2023-10-12 11:55:01	1.466077	0.741276	1.534194	2.000387
9	Human	True	False	True	True	True	False	Hi	3.761200	2.302585	2.708050	1.098612	2013-07-23 23:29:34	2023-10-09 20:47:05	1.560500	1.194706	1.310506	0.741276

	label	type	site_admin	company	blog	location	hireable	bio	public_repos	public_gists	followers	following	created_at	updated_at	text_bot_count	log_public_repos	log_public_gists	log_followers	log_following
19758	Human	True	False	True	False	True	False	NaN	3.433987	0.000000	2.397895	2.484907	2016-09-10 09:45:00	2023-10-06 11:30:51	0	1.489299	0.000000	1.223156	1.248441
19759	Human	True	False	False	False	True	True	NaN	3.637586	2.995732	4.521789	1.945910	2012-04-19 03:27:14	2023-10-07 18:13:52	0	1.534194	1.385227	1.708702	1.080418
19760	Bot	True	False	False	False	False	False	I am the bot account of @alvaroaleman	0.693147	0.000000	0.000000	0.000000	2018-12-15 19:55:31	2021-07-27 14:14:25	2	0.526589	0.000000	0.000000	0.000000
19761	Human	True	False	False	False	False	False	NaN	1.386294	0.000000	0.693147	0.000000	2013-11-10 16:05:37	2023-08-31 14:26:08	2	0.869742	0.000000	0.526589	0.000000
19762	Human	True	False	False	False	False	False	NaN	0.000000	0.000000	0.000000	0.000000	2020-10-01 18:30:32	2020-12-29 19:45:12	0	0.000000	0.000000	0.000000	0.000000
19763	Bot	True	False	True	True	True	False	Tony came to Linux in 1994 and has never looked back. His entire professional career has been spent working with or on Linux. First as a systems administrator	3.610918	2.833213	2.484907	1.609438	2014-07-02 23:27:34	2023-08-15 16:38:34	0	1.528427	1.343703	1.248441	0.959135
19764	Human	True	False	False	False	False	False	NaN	2.833213	0.000000	1.386294	0.000000	2017-12-06 21:56:31	2023-07-26 18:32:25	0	1.343703	0.000000	0.869742	0.000000
19765	Human	True	False	True	False	True	False	Software engineer at RealTracs.	2.639057	0.000000	2.397895	0.693147	2015-11-14 14:44:05	2022-08-23 21:09:49	0	1.291725	0.000000	1.223156	0.526589
19766	Human	True	False	True	False	False	False	NaN	2.079442	0.000000	1.098612	0.000000	2021-11-23 18:55:29	2023-10-06 22:50:45	0	1.124748	0.000000	0.741276	0.000000
19767	Bot	True	False	False	False	True	False	NaN	2.397895	0.000000	0.693147	0.000000	2016-04-22 22:11:59	2022-07-07 19:48:21	0	1.223156	0.000000	0.526589	0.000000

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Symbol

Lowercase Letter

Nonspacing Mark

Uppercase Letter

Other Punctuation

Math Symbol

Decimal Number

Close Punctuation

Open Punctuation

Modifier Symbol

Private Use

Space Separator

Modifier Letter

Other Number

Dash Punctuation

Format

Final Punctuation

Currency Symbol

Initial Punctuation

Connector Punctuation

Control

Letter Number

Most occurring scripts

Most frequent character per script

Han

Common

Latin

Hangul

Inherited

Katakana

Cyrillic

Hiragana

Arabic

Greek

Hebrew

Unknown

Tibetan

Thai

Kannada

Mandaic

Egyptian_Hieroglyphs

Devanagari

Most occurring blocks

Most frequent character per block

ASCII

Punctuation

VS

Block Elements

None

Dingbats

Enclosed Alphanum Sup

Misc Symbols

Cyrillic

CJK

Hiragana

Katakana

Arabic

Diacriticals

Compat Jamo

Geometric Shapes Ext